Data Visualization

# Data Visualization
## An intro
### Fabio CRUZ
### Université de Lorraine
### 2021/02/01 (updated: 2021-02-01)

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# Learning outcomes

Data visualization is a fundamental part of the analysis of data.

- You will produce your first reproducible image.
- You will have a basic understanding of the main component and functions of `ggplot2`.

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# Agenda of this sprint

1. Understanding the `ggplot2` package

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#  What is Data Visualization?

- are graphical representations of data

- use different colors, shapes, and the coordinate system to summarize data

- tell a story

- are useful for exploring data

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## For example

[Coronavirus Pandemic (COVID-19)](https://ourworldindata.org/coronavirus)

[How LGBTQ+ hate crime is committed by young people against young people](https://www.bbc.com/news/uk-46543874)

[Why Time Flies](https://maximiliankiener.com/digitalprojects/time/)

[Mandatory Paid Vacation](https://www.instagram.com/p/CE1kpM5FhWR/?utm_source=ig_web_copy_link)

[Why are K-pop groups so big?](https://pudding.cool/2020/10/kpop/)

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## Autonomus tutorial: Hi  grammar of graphics!    <i class="fas  fa-clipboard-list fa-pull-right "></i>
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.infobox.assignment[

Let's play with the **ggplot2**:

1. Open the [`Data Visualization Basics`](https://rstudio.cloud/learn/primers/1.1)  on Rstudio cloud.
2. Make the step-by-step tutorial
3. Answer the questions, in the `ARCHE.Rmd` document as long as you find the answers.
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# Summarize the insigths on `ggplot2` the ARCHE document

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## Coffe  ☕